Data Governance

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Data Governance

Data governance demands accountability for how organizations and individuals handle the actions, circumstances, methods, and access to information. Data governance standards help build data transparency and standardize best practices around how data should be used and by whom. StarfishETL offers data governance services through its dynamic iPaaS automation.

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Maintaining Data Governance During Your Integration

Data governance is a multi-level, multi-departmental effort. It’s defined by how data is ingested into systems, how data is retained and stored throughout systems, how it’s shared, how it’s archived and backed-up, recovered, and deleted. Data integration ingests and shares data between solutions and is therefore important to the overall data governance strategy of any business. So, how can we maintain data governance during integration?

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Planning Data Governance: Approach & Best Practices

Data governance sets a precedent for the processes, policies, standards, and metrics that inform the most effective use of a business’ information. It's a function that supports the company’s overall data management strategy to minimize risks, increase data value, cut costs, and make sure compliance requirements are met.

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Proactive Data Ethics for Better Business

Debates around how private businesses and governments use people’s data have been a hot topic over the past decade. Companies rely on customer data to retarget and personalize experiences, but consumers are pushing back on that data collection.

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